Package request: Tensorflow for mobile

[priesteye]

hoping you could build this and add it to the packages #tensorflow
check out build process https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/makefile/README.md

[priesteye]

@fornwall what is the update on the building process of mobile Tensorflow?

[its-pointless]

Iv had a brief go at it...
Getting a compiled library is easy as it does it for you but im guessing you want python bindings?

[priesteye]

@its-pointless I will be glad if you compile it for termux and provide python bindings

[its-pointless]

Im doing a compile on a test device see if i can get it to build arm. Once that is done i can work out what is required from there.

[priesteye]

@its-pointless am counting on your infinity support and help you give to the community.
#Thank you

[priesteye]

@its-pointless Any progress on build for arm?

[its-pointless]

im trying a few things...
i think i might have a method down that works for both arm and aarch64. But its complicated.

[priesteye]

@its-pointless hit me with the method that works and let me also dive into the ocean with you or lets starts with what works first

[its-pointless]

First issue
tensoflow NEEDS bazel to install properly. Bazel is in java. Bazel is not a simple thing that can be worked around it seems. We don't have javac to build bazel ... we do on arm only and that build is kind of broken at this point. Open-jdk9 does work for arm but its broken when loading vm. its in disabled

How do we work around this?
i was thinking a method of mounting a linux chroot ala linuxdeploy and mounting android dirs /system /data and then using that to load termux/android compilers protobuf libs and python binaries. I have done something similar before ... i dont even know if that will work.

The whole thing at this point is a cluster fuck of pain trying to get this to work.

https://github.com/samjabrahams/tensorflow-on-raspberry-pi/blob/master/GUIDE.md
As a start point.

we haven't even gotten to tensorflow as yet. Tensorflow will not compile on clang. You have to use to gcc. We can cross compile the lib but we need gcc. Fortunately iv got that already done.

[priesteye]

@its-pointless I can you try this method from this link https://zhiyisun.github.io/2017/02/15/Running-Google-Machine-Learning-Library-Tensorflow-On-ARM-64-bit-Platform.html

It sounds really cool but i haven't been able to pull it off

[febinkk]

Any progress yet?

[Auxilus]

I tried compiling tensorflow , but no success .